mongodb geolocation

Original: MongoDB Data summaryThe previous Redis Data summary topic is very popular, here the MongoDB series of information is also a simple collation. Hope to be useful to everyone. Last update time: 2013-04-22What is 1.MongoDB? MongoDB

What is 1.MongoDB? MongoDB Introduction ppt Sharing MongoDB Gridfs Introduction ppt Two First knowledge of MongoDB Gridfs MongoDB Gridfs Introduction A NoSQL and MongoDB introduction ppt MongoDB: Next Generation MySQL?

LBS, which stores the latitude and longitude coordinates of each location, searches for nearby locations and establishes a geographical index to improve query efficiency. MongoDB geolocation Index,2d and 2dsphere, corresponds to planar and

Initialize collection (longitude in front, latitude in rear)? 123 mongos> db.checkins.insert({ "_id" : "101", "loc" : [ 116.3447, 39.9789 ]})mongos> db.checkins.insert({ "_id" : "102", "loc" : [ 116.3447, 39.8789 ]})mongos>

Indexes can often greatly improve the efficiency of queries, and if there is no index, MongoDB must scan every file in the collection and select those records that meet the query criteria when reading the data. This scan full set of query efficiency

Recently, as a commando, with colleagues in a blitz to build a simple lbs system. The current mainstream approach is to use MongoDB, because it has encapsulated the common LBS basic operations (such as looking for nearby people), the function is

Geo-index support is one of the highlights of MongoDB, which is one of the reasons why the world's most popular lbs service Foursquare choose MongoDB. We know that the usual database index structure is a B + Tree, and how to convert a geographic

Geo-index support is one of the highlights of MongoDB , which is one of the reasons why the world's most popular LBS service Foursquare choose MongoDB. We know that the usual database index structure is a B + Tree, and how to convert a geographic

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